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08 May, 2024

AI in Entertainment: 5 Best Application Use Cases

Before AI became a reality, artificial intelligence fantasies inspired more than one generation of science fiction writers. Today, we no longer question “Can machines think?” like Turing, we ask, “Can machines create?”

Artificial intelligence has already advanced to the point where it is a revolutionary force in creative sectors like media and entertainment. This has enabled firms to make content more interesting, interactive, and influential.

Artificial intelligence is now playing an increasingly essential role in the media and entertainment industries, efficiently controlling numerous critical areas of entertainment product success. It aids in the optimization of distribution routes, the enhancement of advertising campaign efficacy, and the precise forecasting of demand.

Like an ever-growing force, AI is steadily expanding its footprint in the entertainment industry, establishing itself as a trusted friend in achieving the aims and growth of the sector’s enterprises.

In this article, we will look at the evolution of artificial intelligence over time and some examples of artificial intelligence in entertainment and media.

ai in entertainment

AI in Entertainment: From the Birth to the Present

Scientists have been working on developing artificial intelligence since the second half of the twentieth century. The early stage of development lasted from 1950 until 1980. During this time, theoretical underpinnings were established, and Alan Turing authored his research paper. In it, he asks the question that sparked the famous “Imitation Game” or Turing test, which influenced AI philosophy.

By the mid-1950s, scientists had developed the concepts of a neural network and natural language, but more work was still needed. The first experiments with computer music and painting were being conducted at the time. Though this research was unrelated to entertainment, it paved the way for the future use of AI in the entertainment industry.

Pioneers in the gaming business emerged during the 1950s. The first game with a visual component was Bertie the Brain, which enabled users to play Tic-Tac-Toe against artificial intelligence. This is also when the first game with a graphical interface, Noughts and Crosses (1952), and the first multiplayer game, Tennis for Two (1958), debuted.

ai in entertainment

Artificial intelligence was first used in the gaming industry to create digital effects for films between 1990 and 2000. It was used to create lifelike digital images, proving the technology’s ability to create amazing visual effects for the first time. Video games also began to actively employ basic AI technology to improve the behavior of non-player characters and create engaging gameplay.

2000 – 2010 saw the broad implementation of recommendation algorithms into different platforms, including entertainment services. This greatly improved the user experience and content customization. AI was also employed in music production and sound enhancement, revolutionizing the music industry.

Since 2010, AI’s use in the entertainment business has peaked. Breakthroughs in natural language processing have enabled the creation of unique music and scripts. 

How is AI Used in Entertainment: 5 Best Use Cases

#1: Content Creation

According to Statista, the AI market is expected to reach $1.5 trillion by 2030, impacting all industries, including media and entertainment. Even today, we can see the impact of artificial intelligence in everyday life. Let’s look at some examples of AI use in this field and how corporations may generate entertainment items much faster and more efficiently as a result.

One exciting application of AI in media and entertainment is the creation of original musical compositions that are nearly indistinguishable from those generated by humans. Even if you don’t have any musical experience, programs like Amper Music can help you create great tunes. Another example is AIVA, an artificial intelligence software used to compose music for films and video games.

Furthermore, by incorporating personalization into music production, we have AI DJs that can customize sets based on user preferences and event energy and music therapists who attend to specific requirements. The opportunities for AI in the entertainment industry, particularly in the music industry, are fascinating.

Filmmaking is another media and entertainment field that AI is impacting. For example, Benjamin, a deep learning model, created a 7-minute sci-fi movie in under 48 hours. The trailer for Morgan, produced by 20th Century Fox, was also made using AI technology.

#2: User Experience & Personalization

The media and entertainment industries are widely utilizing artificial intelligence to enhance the customer experience through personalized video content recommendations.

Because of rising industry competition, media organizations face challenges in recruiting long-term clients and building brand trust. In the entertainment sector, artificial intelligence allows for greater customization and better user experience. Media companies are utilizing artificial intelligence to track user search behavior and give more personalized services to the billions of people who use their services online.

AI-powered media applications can follow users’ search patterns, allowing media organizations to provide more personalized content recommendations. For example, recommending high-quality content that matches user tastes when purchasing online or watching videos assists digital media channels in reaching more consumers and improving brand performance.

Netflix is a prime example of how AI is used in entertainment. This popular entertainment platform employs artificial intelligence to give its users the most specific experience. Netflix (a prominent video streaming app for Android and iOS) uses artificial intelligence to track users’ interests and provide personalized video content recommendations.

#3: Game Development and Virtual Worlds

The introduction of artificial intelligence into games transformed the entertainment business. AI-controlled NPCs (non-player characters) can show sophisticated behaviors and adapt to the player’s actions, resulting in a richer, more immersive gaming experience and a growing gaming audience.

The use of artificial intelligence in creating games and virtual worlds is critical for providing unique gaming experiences. AI makes the game environment more realistic and dynamic, attracting and holding players’ attention for longer.

#4: VR and AR Technologies

AR and VR enable the immersive and interactive content that clients crave today. By enabling media and entertainment firms to build interactive programs or non-player characters in video games, AI applications have expanded the capabilities of AR and VR, potentially improving the customer experience. According to the 2017 Global Entertainment and Media Outlook, virtual reality (VR) is predicted to be the fastest-expanding segment of the entertainment and media sector.

Virtual reality (VR) and augmented reality (AR) continue to gain popularity, thanks not only to lower-cost equipment but also to the expanding number of materials supported by artificial intelligence.

ai in entertainment

In the entertainment business, artificial intelligence positive impact plays an important role in improving users’ visual experiences. This is due to its ability to accurately mimic the physical attributes of light, object movement, and texture in virtual space. Because of this technology, digital simulations have become so lifelike that we frequently lose track of the boundaries between reality and the virtual environment.

AI allows us to immerse ourselves in virtual worlds where every detail feels real. These advancements in entertainment not only broaden the possibilities for producing immersive games and learning experiences but also pave the way for new forms of online social contact.

#5: Reporting Automation

One of the most common applications of artificial intelligence in the media is automated reporting. AI not only automates processes on a minute or daily basis but also assists media organizations in making strategic business decisions based on customer and market data.

The most effective examples of automated reporting systems are media applications that use natural language processing (NLP). These creative and sophisticated tools enable media firms to automate data analysis and report on channel performance using raw data provided by India’s Broadcast Audience Research Council (BARC).

BARC typically provides weekly data in the form of massive Excel spreadsheets. Analyzing these tables once a week demonstrates how tough it is for analytics teams to design and perform effective workouts. As a result, applications driven by artificial intelligence and machine learning are the most effective answer for this challenging task. Artificial intelligence technologies automate data analysis and increase efficiency.


Artificial intelligence plays an unparalleled role in entertainment. And thanks to their capacity to stimulate innovation, content personalization, process optimization, and other benefits, AI applications are expected to dominate the media and entertainment business even more in the future.

The future of artificial intelligence in the media and entertainment industries promises to increase value for businesses and service providers. AI technology is a critical and inventive approach for media organizations to be competitive in 2024 and beyond. The use of artificial intelligence in the development of entertainment and media applications will drastically change the landscape of this business.

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